This repository contains the source code of the Neural Reading Comprehension-based Question Answering system, AMANDA, which is published in AAAI 2018.
We experimented on three datasets: NewsQA, TriviaQA and SearchQA. Source code is available in the corresponding directories (NEWSQA, TRIVIAQA, and SEARCHQA) for training and testing on every dataset. Additionally, each of the directories contains a separate README file for further details.
amanda/ contains the source code of the model architecture.
If you use the source code or models from this work, please cite our paper:
@article{kundu2018amanda,
author = {Kundu, Souvik and Ng, Hwee Tou},
title = {A Question-Focused Multi-Factor Attention Network for Question Answering},
booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence},
month = {February},
year = {2018},
}
You can also find the paper in arxiv: https://arxiv.org/abs/1801.08290
AMANDA is licensed under the GNU General Public License Version 3. Separate commercial licensing is also available. For more information contact:
- Souvik Kundu (souvik@comp.nus.edu.sg)
- Hwee Tou Ng (nght@comp.nus.edu.sg)